7.9 Identification and other variables

  • idencuesta: Participant identifier folio
  • tipo_atricion: Respondent participation in ELSOC waves

Notes: Variable only in longitudinal databases

tipo_atricion 2016 2017 2018 2019 2021
Original Sample
1 1513 1513 1513 1513 1513
2 400 400 400 400 0
3 44 44 44 0 44
4 149 149 149 0 0
5 75 75 0 75 75
6 54 54 0 54 0
7 21 21 0 0 21
8 217 217 0 0 0
9 57 0 57 57 57
10 27 0 27 27 0
11 9 0 9 0 9
12 29 0 29 0 0
13 11 0 0 11 11
14 16 0 0 16 0
15 9 0 0 0 9
16 296 0 0 0 0
17 0 0 0 0 0
18 0 0 0 0 0
19 0 0 0 0 0
20 0 0 1 0 0
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
3 0 0 0 0 0
4 0 0 0 0 0
5 0 0 0 0 0
6 0 0 0 0 0
7 0 0 0 0 0
8 0 0 0 0 0
9 0 0 0 0 0
10 0 0 0 0 0
11 0 0 0 0 0
12 0 0 0 0 0
13 0 0 0 0 0
14 0 0 0 0 0
15 0 0 0 0 0
16 0 0 0 0 0
17 0 0 933 933 933
18 0 0 331 331 0
19 0 0 68 0 68
20 0 0 187 0 0
  • tipo_caso: Respondent classification according to time consistency

0 Consistent cases
1 Minor inconsistency cases
2 Major inconsistency cases

Notes: Variable only in longitudinal databases

tipo_caso 2016 2017 2018 2019 2021
Original Sample
0 2450 2008 1780 1722 1379
1 435 424 410 392 327
2 42 41 39 39 33
Refreshment Sample
0 0 0 1414 1162 900
1 0 0 103 100 99
2 0 0 2 2 2
  • version: Database version identifier code
  • cuestion_mig: Migrant group identifier

1 Peruvians
2 Venezuelans
3 Haitians

Notes: Variable that identifies the questionnaire in questions associated with migrants. From Wave 5 onwards it becomes a cross-sectional variable (cuestion_mig_w01 to cuestion_mig_w05) on a combined database.

cuestion_mig 2016 2017 2018 2019 2021
Original Sample
1 2927 2473 2229 1100 846
2 0 0 0 1053 893
3 0 0 0 0 0
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
3 0 0 1519 1264 1001
  • cuestion_completo: Identifies whether the survey was answered completely

1 Complete
2 Incomplete

Notes: Variable that identifies whether the questionnaire was answered completely (1) or incompletely (2). It was added from Wave 5 onwards by phone modality, since there is the possibility of answering one call but not both.

cuestion_completo 2016 2017 2018 2019 2021
Original Sample
1 0 0 0 0 1729
2 0 0 0 0 10
NA 2927 2473 2229 2153 0
Refreshment Sample
1 0 0 0 0 993
2 0 0 0 0 8
NA 0 0 1519 1264 0
  • segmento: Segment
  • segmento_disenno: Segment in original sample design

Notes: Segment in original sample design, to be used when considering complex design. Variable added on longitudinal bases from Wave 5.

  • comuna: Comuna

Notes: From Wave 5 codes and commune names updated to CUT 2018

  • comuna_cod: Comuna (Code)

Notes: From Wave 5 codes and commune names updated to CUT 2019

comuna_cod 2016 2017 2018 2019 2021
Original Sample
1101 27 27 23 24 18
1107 8 8 6 7 5
2101 61 55 49 42 33
2203 0 0 0 0 1
3101 52 43 40 39 33
3103 4 3 2 1 1
3301 61 49 44 41 32
3302 0 0 0 0 0
3303 0 0 0 0 1
4101 26 25 24 24 20
4102 17 14 13 11 12
4106 21 20 19 18 18
4204 27 24 21 19 16
4301 56 41 43 40 36
5101 178 143 140 130 106
5102 0 0 0 0 1
5103 6 5 5 4 2
5109 145 124 98 89 67
5301 0 0 0 0 1
5401 0 0 0 0 0
5402 29 20 20 18 17
5501 0 0 0 1 2
5504 0 0 0 1 1
5601 0 0 0 0 0
5603 0 0 0 0 1
5605 0 0 0 0 0
5606 0 0 0 1 0
5701 48 24 21 20 14
5706 0 0 0 0 1
5801 46 37 34 38 29
5802 0 0 0 0 0
5804 48 39 39 39 28
6101 47 42 35 31 24
6105 22 19 18 15 11
6108 8 7 5 6 2
6111 2 2 2 2 3
6301 0 0 0 0 1
6306 0 0 0 0 1
6308 0 0 0 0 1
6310 24 22 22 21 17
7101 35 34 30 32 22
7102 55 49 47 44 33
7105 2 2 2 1 3
7108 0 0 0 0 1
7301 0 0 0 0 2
7401 57 51 44 41 32
7404 56 54 50 49 36
7405 0 0 0 0 1
8101 102 87 80 75 57
8102 38 35 33 31 26
8103 35 32 30 26 26
8105 5 5 4 5 4
8106 25 22 21 23 15
8107 12 6 8 9 7
8108 57 48 48 48 41
8110 63 55 51 45 37
8111 23 20 21 17 18
8112 31 25 28 27 19
8202 0 0 0 0 1
8205 0 0 0 0 1
8206 0 0 0 0 1
8301 0 0 0 0 1
8302 0 0 0 1 0
8303 0 0 0 0 1
8304 20 17 14 14 8
8305 26 24 23 22 16
8310 5 5 5 5 4
9101 51 45 38 43 39
9102 26 24 21 17 11
9103 0 0 0 0 1
9108 27 21 20 21 15
9109 31 29 27 26 21
9111 26 24 22 23 16
9112 10 6 6 8 5
9119 0 0 0 0 0
9201 58 46 40 39 32
9202 0 0 0 0 0
9204 0 0 0 1 0
9211 0 0 0 0 1
10101 54 47 48 45 34
10106 0 0 0 0 1
10108 0 0 0 0 1
10109 4 3 3 3 3
10202 0 0 0 0 1
10403 0 0 0 0 1
11101 0 0 0 0 1
11201 23 18 17 14 12
13101 60 36 35 25 14
13102 15 14 11 10 9
13103 9 8 7 5 3
13104 16 11 12 12 9
13105 19 18 14 14 14
13106 18 16 14 15 11
13107 17 14 14 13 8
13108 12 10 8 8 5
13109 10 8 7 6 4
13110 42 36 29 33 23
13111 13 12 8 8 7
13112 33 30 28 25 19
13113 9 7 6 7 6
13114 15 12 8 9 9
13115 4 4 1 1 2
13116 10 10 9 9 7
13117 9 7 5 4 5
13118 19 17 16 13 10
13119 59 48 41 48 41
13120 17 15 15 11 13
13121 12 12 9 8 8
13122 26 20 19 18 16
13123 28 21 19 18 19
13124 28 23 19 23 17
13125 22 22 14 11 9
13126 9 7 5 7 2
13127 17 12 10 9 6
13128 17 13 12 13 11
13129 12 7 8 6 5
13130 8 8 8 7 12
13131 15 11 12 11 12
13132 1 1 1 1 2
13201 72 64 53 52 39
13301 57 51 38 36 22
13302 0 0 0 0 1
13401 40 38 29 25 18
13404 0 0 0 0 0
13501 0 0 0 0 1
13502 0 0 0 0 0
13503 19 17 17 15 12
13601 0 0 0 0 1
13602 0 0 0 0 0
13603 47 39 36 34 27
13604 7 5 4 6 4
13605 71 58 51 60 40
14101 0 0 0 0 0
14108 0 0 0 0 1
14201 26 25 19 24 19
14202 0 0 0 1 0
14204 23 20 18 17 15
14501 0 0 0 1 0
14605 0 0 0 0 0
15101 0 0 0 0 5
16101 0 0 0 1 0
16102 0 0 0 0 1
16107 21 19 18 15 11
16108 0 0 0 0 2
16203 23 20 18 20 18
16207 0 0 0 0 0
16403 0 0 0 1 0
Refreshment Sample
1101 0 0 16 14 12
1107 0 0 15 14 13
2101 0 0 28 21 18
2203 0 0 0 0 0
3101 0 0 37 33 28
3103 0 0 3 3 0
3301 0 0 19 15 13
3302 0 0 0 0 1
3303 0 0 0 0 0
4101 0 0 30 26 22
4102 0 0 18 13 15
4106 0 0 21 21 18
4204 0 0 0 0 0
4301 0 0 0 0 0
5101 0 0 103 89 73
5102 0 0 0 0 0
5103 0 0 0 0 1
5109 0 0 61 47 31
5301 0 0 0 0 1
5401 0 0 0 0 1
5402 0 0 35 30 21
5501 0 0 0 0 1
5504 0 0 0 0 0
5601 0 0 0 0 1
5603 0 0 0 0 0
5605 0 0 0 0 2
5606 0 0 0 0 0
5701 0 0 58 52 40
5706 0 0 0 0 0
5801 0 0 37 26 26
5802 0 0 0 0 1
5804 0 0 0 0 0
6101 0 0 22 19 14
6105 0 0 18 17 14
6108 0 0 9 9 5
6111 0 0 0 0 0
6301 0 0 0 0 0
6306 0 0 0 0 0
6308 0 0 0 0 1
6310 0 0 0 0 0
7101 0 0 44 42 31
7102 0 0 33 32 24
7105 0 0 0 0 1
7108 0 0 0 0 0
7301 0 0 0 0 0
7401 0 0 25 23 14
7404 0 0 0 0 0
7405 0 0 0 0 0
8101 0 0 27 23 23
8102 0 0 0 0 0
8103 0 0 29 24 23
8105 0 0 10 8 9
8106 0 0 17 14 8
8107 0 0 0 0 0
8108 0 0 28 28 23
8110 0 0 38 30 28
8111 0 0 15 13 12
8112 0 0 26 22 15
8202 0 0 0 0 0
8205 0 0 0 0 0
8206 0 0 0 0 0
8301 0 0 0 0 0
8302 0 0 0 0 0
8303 0 0 0 0 0
8304 0 0 0 0 0
8305 0 0 0 0 0
8310 0 0 0 0 0
9101 0 0 42 36 27
9102 0 0 0 0 0
9103 0 0 0 0 0
9108 0 0 0 0 0
9109 0 0 25 23 15
9111 0 0 33 32 18
9112 0 0 0 0 0
9119 0 0 0 0 1
9201 0 0 29 14 11
9202 0 0 0 1 0
9204 0 0 0 0 0
9211 0 0 0 0 0
10101 0 0 27 20 17
10106 0 0 0 0 0
10108 0 0 0 0 0
10109 0 0 6 4 2
10202 0 0 0 0 0
10403 0 0 0 0 0
11101 0 0 0 0 0
11201 0 0 16 13 7
13101 0 0 18 13 11
13102 0 0 7 5 7
13103 0 0 21 19 15
13104 0 0 18 14 9
13105 0 0 20 16 11
13106 0 0 5 5 3
13107 0 0 14 9 5
13108 0 0 12 9 5
13109 0 0 10 9 7
13110 0 0 13 12 14
13111 0 0 7 7 6
13112 0 0 14 12 11
13113 0 0 12 10 7
13114 0 0 11 7 5
13115 0 0 5 3 4
13116 0 0 15 11 8
13117 0 0 4 3 3
13118 0 0 2 2 1
13119 0 0 14 12 9
13120 0 0 11 8 8
13121 0 0 16 15 9
13122 0 0 16 12 11
13123 0 0 6 1 3
13124 0 0 20 10 6
13125 0 0 17 13 5
13126 0 0 12 12 7
13127 0 0 20 16 14
13128 0 0 12 9 5
13129 0 0 13 11 10
13130 0 0 5 4 3
13131 0 0 13 12 8
13132 0 0 6 4 4
13201 0 0 14 13 9
13301 0 0 0 0 0
13302 0 0 0 0 3
13401 0 0 15 11 9
13404 0 0 0 0 1
13501 0 0 0 0 0
13502 0 0 0 0 1
13503 0 0 0 0 0
13601 0 0 0 0 0
13602 0 0 0 0 1
13603 0 0 0 0 0
13604 0 0 6 6 4
13605 0 0 14 13 10
14101 0 0 0 0 1
14108 0 0 0 0 0
14201 0 0 17 14 9
14202 0 0 0 0 0
14204 0 0 11 9 6
14501 0 0 0 0 0
14605 0 0 0 1 0
15101 0 0 0 0 0
16101 0 0 0 0 0
16102 0 0 0 0 0
16107 0 0 28 23 18
16108 0 0 0 0 0
16203 0 0 25 18 12
16207 0 0 0 0 1
16403 0 0 0 0 0
  • region: Region

Notes: From Wave 5 codes and commune names updated to CUT 2020

  • region_cod: Region (Code)

Notes: From Wave 5 codes and commune names updated to CUT 2021

region_cod 2016 2017 2018 2019 2021
Original Sample
1 35 35 29 31 23
2 61 55 49 42 34
3 117 95 86 81 67
4 147 124 120 112 102
5 500 392 357 341 270
6 103 92 82 75 60
7 205 190 173 167 130
8 442 381 366 349 283
9 229 195 174 178 141
10 58 50 51 48 41
11 23 18 17 14 13
13 914 762 652 637 503
14 49 45 37 42 35
15 0 0 0 0 5
16 44 39 36 36 32
Refreshment Sample
1 0 0 31 28 25
2 0 0 28 21 18
3 0 0 59 51 42
4 0 0 69 60 55
5 0 0 294 244 199
6 0 0 49 45 34
7 0 0 102 97 70
8 0 0 190 162 141
9 0 0 129 106 72
10 0 0 33 24 19
11 0 0 16 13 7
13 0 0 438 348 272
14 0 0 28 24 16
15 0 0 0 0 0
16 0 0 53 41 31
  • estrato: Sample stratum

1 Gran Santiago
2 Gran Valparaiso
3 Gran Concepcion
4 Ciudades Grandes
5 Ciudades Medianas
6 Ciudades Pequennias

estrato 2016 2017 2018 2019 2021
Original Sample
1 720 597 510 498 409
2 375 314 283 272 214
3 391 335 324 306 256
4 408 363 326 313 254
5 567 457 411 404 317
6 466 407 375 360 289
Refreshment Sample
1 0 0 424 335 262
2 0 0 154 123 102
3 0 0 190 161 138
4 0 0 297 255 202
5 0 0 225 189 153
6 0 0 229 201 144
  • estrato_disenno: Stratum in original sample design

1 Gran Santiago
2 Gran Valparaiso
3 Gran Concepcion
4 Big Cities
5 Medium-sized Cities
6 Small Cities

Notes: Stratum in original sample design, to be used when considering complex design. Variable added on longitudinal databases from Wave 5.

estrato_disenno 2016 2017 2018 2019 2021
Original Sample
1 720 597 510 498 409
2 375 314 283 272 214
3 391 335 324 306 256
4 408 363 326 313 254
5 567 457 411 404 317
6 466 407 375 360 289
Refreshment Sample
1 0 0 424 335 262
2 0 0 154 123 103
3 0 0 190 161 138
4 0 0 297 255 202
5 0 0 225 189 152
6 0 0 229 201 144
  • cambio_segmento: Change of census block (due to change of house)

0 No
1 Yes

cambio_segmento 2016 2017 2018 2019 2021
Original Sample
0 0 0 0 2084 0
1 0 0 0 69 0
NA 2927 2473 2229 0 1739
Refreshment Sample
0 0 0 0 1259 0
1 0 0 0 5 0
NA 0 0 1519 0 1001
  • ponderador01: Cross-sectional Weighting: Adjustment for population
  • ponderador02: Cross-sectional Weighting: Adjustment for population and sex
  • fact_exp01: Cross-sectional Expansion Factor: Adjustment for population
  • fact_exp02: Cross-sectional Expansion Factor: Adjustment for population and sex
  • ciuo88_m03: Interviewee’s ISCO (1988)

Notes: In Wave 1 it is coded to ISCO 1988. From 2008 onwards it is coded to ISCO Wave 3. This variable ceases to exist and is divided into 2, depending on the ISCO version: ciuo88_m03 and ciuo08_m03.

  • ciuo08_m03: Interviewee’s ISCO (2008)

Notes: In Wave 1 it is coded to ISCO 1988. From 2008 onwards it is coded to ISCO Wave 3. This variable ceases to exist and is divided into 2, depending on the ISCO version: ciuo88_m03 and ciuo08_m03.

  • ciiu3_m04: Interviewee’s ISIC (III version)

Notes: In Wave 1 it is codified to ISIC III. From 2008 onwards it is coded to ISIC IV. This variable ceases to exist and is divided into 2, depending on the ISIC version: ciiu3_m04 and ciiu4_m04.

  • ciiu4_m04: Interviewee’s ISIC (IV version)

Notes: In Wave 1 it is codified to ISIC III. From 2008 onwards it is coded to ISIC IV. This variable ceases to exist and is divided into 2, depending on the ISIC version: ciiu3_m04 and ciiu4_m04.

  • nhogar1: Household size (ELSOC)
  • nhogar2: Household size (CMD)
  • miembro01_sexo: Household member 1: Sex

1 Male
2 Female

miembro01_sexo 2016 2017 2018 2019 2021
Original Sample
1 1226 0 0 0 0
2 1272 0 0 0 0
NA 429 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro01_edad: Household member 1: Age
  • miembro02_sexo: Household member 2: Sex

1 Male
2 Female

miembro02_sexo 2016 2017 2018 2019 2021
Original Sample
1 851 0 0 0 0
2 898 0 0 0 0
NA 1178 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro02_edad: Household member 2: Age
  • miembro03_sexo: Household member 3: Sex

1 Male
2 Female

miembro03_sexo 2016 2017 2018 2019 2021
Original Sample
1 530 0 0 0 0
2 529 0 0 0 0
NA 1868 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro03_edad: Household member 3: Age
  • miembro04_sexo: Household member 4: Sex

1 Male
2 Female

miembro04_sexo 2016 2017 2018 2019 2021
Original Sample
1 229 0 0 0 0
2 246 0 0 0 0
NA 2452 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro04_edad: Household member 4: Age
  • miembro05_sexo: Household member 5: Sex

1 Male
2 Female

miembro05_sexo 2016 2017 2018 2019 2021
Original Sample
1 87 0 0 0 0
2 93 0 0 0 0
NA 2747 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro05_edad: Household member 5: Age
  • miembro06_sexo: Household member 6: Sex

1 Male
2 Female

miembro06_sexo 2016 2017 2018 2019 2021
Original Sample
1 33 0 0 0 0
2 36 0 0 0 0
NA 2858 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro06_edad: Household member 6: Age
  • miembro07_sexo: Household member 7: Sex

1 Male
2 Female

miembro07_sexo 2016 2017 2018 2019 2021
Original Sample
1 20 0 0 0 0
2 11 0 0 0 0
NA 2896 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro07_edad: Household member 7: Age
  • miembro08_sexo: Household member 8: Sex

1 Male
2 Female

miembro08_sexo 2016 2017 2018 2019 2021
Original Sample
1 4 0 0 0 0
2 4 0 0 0 0
NA 2919 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro08_edad: Household member 8: Age
  • miembro09_sexo: Household member 9: Sex

1 Male
2 Female

miembro09_sexo 2016 2017 2018 2019 2021
Original Sample
2 3 0 0 0 0
NA 2924 2473 2229 2153 1739
Refreshment Sample
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro09_edad: Household member 9: Age
  • miembro10_sexo: Household member 10: Sex

1 Male
2 Female

miembro10_sexo 2016 2017 2018 2019 2021
Original Sample
1 1 0 0 0 0
2 1 0 0 0 0
NA 2925 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro10_edad: Household member 10: Age
  • miembro11_sexo: Household member 11: Sex

1 Male
2 Female

miembro11_sexo 2016 2017 2018 2019 2021
Original Sample
1 1 0 0 0 0
2 1 0 0 0 0
NA 2925 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro11_edad: Household member 11: Age
  • miembro12_sexo: Household member 12: Sex

1 Male
2 Female

miembro12_sexo 2016 2017 2018 2019 2021
Original Sample
1 1 0 0 0 0
2 1 0 0 0 0
NA 2925 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro12_edad: Household member 12: Age
  • miembro13_sexo: Household member 13: Sex

1 Male
2 Female

miembro13_sexo 2016 2017 2018 2019 2021
Original Sample
1 1 0 0 0 0
NA 2926 2473 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
NA 0 0 1519 1264 1001
  • miembro13_edad: Household member 13: Age
  • idencuestador: Identifier of the interviewer

Notes: Supplementary survey conducted to interviewers from CMD.

  • varios_enc: Visit of more than one interviewer

0 No
1 Yes

Notes: Supplementary survey conducted to interviewers from CMD.

varios_enc 2016 2017 2018 2019 2021
Original Sample
0 2896 0 0 0 55
1 31 0 0 0 1684
NA 0 2473 2229 2153 0
Refreshment Sample
0 0 0 0 0 27
1 0 0 0 0 974
NA 0 0 1519 1264 0
  • sexo_enc: Interviewer’s sex

1 Male
2 Female

Notes: Supplementary survey conducted to interviewers from CMD.

sexo_enc 2016 2017 2018 2019 2021
Original Sample
1 448 406 305 0 264
2 2479 2067 1920 0 1475
NA 0 0 4 2153 0
Refreshment Sample
1 0 0 195 0 117
2 0 0 1315 0 884
NA 0 0 9 1264 0
  • edad_enc: Interviewer’s age

Notes: Supplementary survey conducted to interviewers from CMD.

  • annio_enc: Interviewer’s year of birth

Notes: Supplementary survey conducted to interviewers from CMD.

  • mes_enc: Interviewer’s month of birth

Notes: Supplementary survey conducted to interviewers from CMD.

  • dia_enc: Interviewer’s day of birth

Notes: Supplementary survey conducted to interviewers from CMD.

  • civil_enc: Interviewer’s marital status

-999 No Answer (do not read)
-888 Don’t Know (do not read)
-777 Missing Value due to technical error
-666 Missing Value due to incomplete survey
1 Legally Married
2 Cohabitant without Civil Union Agreement
3 Cohabitant with Civil Union Agreement
4 Single
5 Widowed
6 Annulled
7 Divorced
8 Separated (legally married, but not living with spouse)
9 Other. Specify

Notes: Supplementary survey conducted to interviewers from CMD.

civil_enc 2016 2017 2018 2019 2021
Original Sample
1 856 874 0 0 0
4 1918 1495 0 0 0
5 153 104 0 0 0
NA 0 0 2229 2153 1739
Refreshment Sample
1 0 0 0 0 0
4 0 0 0 0 0
5 0 0 0 0 0
NA 0 0 1519 1264 1001
  • nac_enc: Interviewer’s nationality

-999 No Answer (do not read)
-888 Don’t Know (do not read)
-777 Missing Value due to technical error
-666 Missing Value due to incomplete survey
1 Chilean
2 Peruvian
3 Argentinean
4 Colombian
5 Bolivian
6 Haitian
7 Spanish
8 Other

Notes: Supplementary survey conducted to interviewers from CMD.

nac_enc 2016 2017 2018 2019 2021
Original Sample
1 2927 2473 2211 0 1648
8 0 0 18 0 91
NA 0 0 0 2153 0
Refreshment Sample
1 0 0 1509 0 973
8 0 0 10 0 28
NA 0 0 0 1264 0
  • comuna_car_enc: Interviewer’s comuna of residence

Notes: Supplementary survey conducted to interviewers from CMD.

  • comuna_enc: Interviewer’s comuna of residence (Code)

Notes: Supplementary survey conducted to interviewers from CMD.

comuna_enc 2016 2017 2018 2019 2021
Original Sample
-999 0 0 4 0 0
1101 0 26 23 0 0
1107 0 8 5 0 0
2101 53 21 0 0 0
3101 24 9 4 0 0
3301 32 19 39 0 0
4101 64 49 51 0 0
4102 0 10 3 0 0
4201 4 0 0 0 0
4203 18 24 21 0 0
4301 65 41 43 0 0
5101 236 222 156 0 0
5105 3 0 0 0 0
5109 60 19 73 0 0
5501 23 19 22 0 0
5701 0 17 0 0 0
5705 48 5 0 0 0
5801 39 64 44 0 0
5804 84 41 35 0 0
6101 58 42 62 0 0
6108 0 15 0 0 0
6111 21 12 0 0 0
6301 0 22 22 0 0
7101 60 60 95 0 0
7105 0 35 0 0 0
7401 0 57 29 0 0
7404 0 38 50 0 0
8101 168 246 164 0 0
8102 0 18 27 0 0
8103 19 0 18 0 0
8107 32 18 14 0 0
8108 43 40 63 0 0
8110 98 38 47 0 0
8111 75 0 12 0 0
8112 0 13 10 0 0
8202 92 0 0 0 0
8301 51 46 43 0 0
9101 62 138 129 0 0
9102 1 0 0 0 0
9108 17 21 0 0 0
9111 0 24 0 0 0
9112 0 26 8 0 0
9119 0 0 37 0 0
9201 0 32 0 0 0
9206 24 0 0 0 0
10101 0 50 51 0 0
10301 38 0 0 0 0
11101 15 10 15 0 0
11201 4 8 2 0 0
13101 166 78 64 0 0
13102 0 59 0 0 0
13103 19 49 0 0 0
13104 24 51 24 0 0
13105 10 0 0 0 0
13106 0 12 38 0 0
13109 12 0 0 0 0
13110 100 51 49 0 0
13111 10 0 0 0 0
13112 0 0 29 0 0
13114 112 14 0 0 0
13115 32 11 0 0 0
13118 3 0 3 0 0
13119 30 96 181 0 0
13120 4 16 54 0 0
13121 0 0 45 0 0
13122 0 0 4 0 0
13123 311 0 29 0 0
13124 96 48 31 0 0
13125 0 39 14 0 0
13126 2 0 0 0 0
13129 33 81 25 0 0
13130 8 6 16 0 0
13131 2 0 0 0 0
13132 0 33 12 0 0
13201 169 152 115 0 0
13203 12 0 0 0 0
13302 7 35 28 0 0
13401 2 9 10 0 0
13604 30 0 0 0 0
13605 0 30 0 0 0
14101 84 0 18 0 0
14104 18 0 0 0 0
14201 0 0 19 0 0
NA 0 0 0 2153 1739
Refreshment Sample
-999 0 0 9 0 0
1101 0 0 16 0 0
1107 0 0 15 0 0
2101 0 0 2 0 0
3101 0 0 9 0 0
3301 0 0 17 0 0
4101 0 0 51 0 0
4102 0 0 0 0 0
4201 0 0 0 0 0
4203 0 0 0 0 0
4301 0 0 0 0 0
5101 0 0 91 0 0
5105 0 0 0 0 0
5109 0 0 83 0 0
5501 0 0 35 0 0
5701 0 0 2 0 0
5705 0 0 0 0 0
5801 0 0 11 0 0
5804 0 0 15 0 0
6101 0 0 49 0 0
6108 0 0 0 0 0
6111 0 0 0 0 0
6301 0 0 0 0 0
7101 0 0 91 0 0
7105 0 0 0 0 0
7401 0 0 11 0 0
7404 0 0 0 0 0
8101 0 0 119 0 0
8102 0 0 0 0 0
8103 0 0 9 0 0
8107 0 0 7 0 0
8108 0 0 42 0 0
8110 0 0 33 0 0
8111 0 0 8 0 0
8112 0 0 19 0 0
8202 0 0 0 0 0
8301 0 0 0 0 0
9101 0 0 92 0 0
9102 0 0 0 0 0
9108 0 0 0 0 0
9111 0 0 0 0 0
9112 0 0 2 0 0
9119 0 0 35 0 0
9201 0 0 0 0 0
9206 0 0 0 0 0
10101 0 0 33 0 0
10301 0 0 0 0 0
11101 0 0 0 0 0
11201 0 0 16 0 0
13101 0 0 58 0 0
13102 0 0 0 0 0
13103 0 0 0 0 0
13104 0 0 17 0 0
13105 0 0 0 0 0
13106 0 0 31 0 0
13109 0 0 0 0 0
13110 0 0 34 0 0
13111 0 0 0 0 0
13112 0 0 23 0 0
13114 0 0 0 0 0
13115 0 0 0 0 0
13118 0 0 2 0 0
13119 0 0 88 0 0
13120 0 0 25 0 0
13121 0 0 63 0 0
13122 0 0 0 0 0
13123 0 0 21 0 0
13124 0 0 9 0 0
13125 0 0 17 0 0
13126 0 0 0 0 0
13129 0 0 18 0 0
13130 0 0 18 0 0
13131 0 0 0 0 0
13132 0 0 30 0 0
13201 0 0 96 0 0
13203 0 0 0 0 0
13302 0 0 12 0 0
13401 0 0 7 0 0
13604 0 0 0 0 0
13605 0 0 0 0 0
14101 0 0 11 0 0
14104 0 0 0 0 0
14201 0 0 17 0 0
NA 0 0 0 1264 1001
  • educ_enc: Interviewer’s education level

-999 No Answer (do not read)
-888 Don’t Know (do not read)
-777 Missing Value due to technical error
-666 Missing Value due to incomplete survey
1 No studies
2 Incomplete primary education
3 Complete primary education
4 Incomplete secondary education
5 Complete secondary education
6 Incomplete technical education
7 Complete technical education
8 Incomplete university education
9 Complete university education
10 Postgraduate studies (master or doctorate)

Notes: Supplementary survey conducted to interviewers from CMD.

educ_enc 2016 2017 2018 2019 2021
Original Sample
3 8 0 0 0 0
4 23 105 2 0 9
5 1085 1155 1053 0 495
6 95 163 76 0 194
7 327 211 285 0 214
8 351 131 129 0 235
9 850 662 629 0 480
10 188 46 51 0 112
NA 0 0 4 2153 0
Refreshment Sample
3 0 0 0 0 0
4 0 0 45 0 1
5 0 0 652 0 308
6 0 0 77 0 91
7 0 0 242 0 113
8 0 0 91 0 130
9 0 0 381 0 306
10 0 0 22 0 52
NA 0 0 9 1264 0
  • ies_enc: Interviewer’s type of institution of higher education

-999 No Answer (do not read)
0 University
1 Professional Institute
2 Technical Training Center

Notes: Supplementary survey conducted to interviewers from CMD.

ies_enc 2016 2017 2018 2019 2021
Original Sample
-999 1120 1277 0 0 0
0 1066 714 0 0 0
1 715 250 0 0 0
2 26 232 0 0 0
NA 0 0 2229 2153 1739
Refreshment Sample
-999 0 0 0 0 0
0 0 0 0 0 0
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • estudios_enc: Interviewer’s studies

Notes: Supplementary survey conducted to interviewers from CMD.

  • estado_educ_enc: Interviewer’s studies progess

Notes: Supplementary survey conducted to interviewers from CMD.

  • nombre_ies_enc: Interviewer’s name of institution of higher education

Notes: Supplementary survey conducted to interviewers from CMD.

  • trabaja_enc: Interviewer currently employed

1 Yes
2 No

Notes: Supplementary survey conducted to interviewers from CMD.

trabaja_enc 2016 2017 2018 2019 2021
Original Sample
1 811 464 313 0 0
2 2116 2009 1870 0 0
NA 0 0 46 2153 1739
Refreshment Sample
1 0 0 269 0 0
2 0 0 1194 0 0
NA 0 0 56 1264 1001
  • estudia_enc: Interviewer currently a student

1 Yes
2 No

Notes: Supplementary survey conducted to interviewers from CMD.

estudia_enc 2016 2017 2018 2019 2021
Original Sample
1 0 0 94 0 0
2 0 0 2089 0 0
NA 2927 2473 46 2153 1739
Refreshment Sample
1 0 0 46 0 0
2 0 0 1417 0 0
NA 0 0 56 1264 1001
  • motivo_enc: Interviewer’s motivations

Notes: Supplementary survey conducted to interviewers from CMD.

  • exp_campo_enc: Experience in field work of the interviewer

1 Yes
2 No

Notes: Supplementary survey conducted to interviewers from CMD.

exp_campo_enc 2016 2017 2018 2019 2021
Original Sample
1 2872 2397 2118 0 1703
2 55 76 65 0 36
NA 0 0 46 2153 0
Refreshment Sample
1 0 0 1404 0 985
2 0 0 59 0 16
NA 0 0 56 1264 0
  • exp_n_campo_enc: Number of field experiences of the interviewer

Notes: Supplementary survey conducted to interviewers from CMD.

  • exp_annio_enc: Year started working as an interviewer

Notes: Supplementary survey conducted to interviewers from CMD.

  • exp_annio_pr_enc: Year of first project as interviewer

Notes: Supplementary survey conducted to interviewers from CMD.

  • exp_capi_enc: Experience using CAPI by the surveyor

-999 No Answer (do not read)
-888 Don’t Know (do not read)
-777 Missing Value due to technical error
-666 Missing Value due to incomplete survey
1 Yes
2 No

Notes: Supplementary survey conducted to interviewers from CMD.

exp_capi_enc 2016 2017 2018 2019 2021
Original Sample
-999 55 76 0 0 0
1 2694 2315 0 0 0
2 178 82 0 0 0
NA 0 0 2229 2153 1739
Refreshment Sample
-999 0 0 0 0 0
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • exp_n_capi_enc: Number of experiences with CAPI of the interviewer

Notes: Supplementary survey conducted to interviewers from CMD.

  • capacita_enc: Interviewer participates in training

-999 No Answer (do not read)
-888 Don’t Know (do not read)
-777 Missing Value due to technical error
-666 Missing Value due to incomplete survey
1 Yes
2 No

Notes: Supplementary survey conducted to interviewers from CMD.

capacita_enc 2016 2017 2018 2019 2021
Original Sample
-999 4 0 0 0 0
1 2923 0 0 0 0
NA 0 2473 2229 2153 1739
Refreshment Sample
-999 0 0 0 0 0
1 0 0 0 0 0
NA 0 0 1519 1264 1001
  • prob_entr: Interview date problems

0 One single interview date
1 Two or more dates with minor problems
2 Two or more dates with severe problems

Notes: Information related to data collection.

prob_entr 2016 2017 2018 2019 2021
Original Sample
-999 8 0 0 0 0
0 2584 2453 2221 0 0
1 240 20 8 0 0
2 95 0 0 0 0
NA 0 0 0 2153 1739
Refreshment Sample
-999 0 0 0 0 0
0 0 0 1508 0 0
1 0 0 11 0 0
2 0 0 0 0 0
NA 0 0 0 1264 1001
  • prob_n_entr: Difference of days in interview date

Notes: Information related to data collection.

  • prob_cierre_entr: Problems with interview closing date

0 One single interview date
1 Two or more dates with minor problems
2 Two or more dates with severe problems

Notes: Information related to data collection.

prob_cierre_entr 2016 2017 2018 2019 2021
Original Sample
0 0 1625 0 0 0
1 0 829 0 0 0
2 0 19 0 0 0
NA 2927 0 2229 2153 1739
Refreshment Sample
0 0 0 0 0 0
1 0 0 0 0 0
2 0 0 0 0 0
NA 0 0 1519 1264 1001
  • prob_cierre_n_entr: Difference of days between interview date and closing date

Notes: Information related to data collection.

  • annio_entr: Year of interview

Notes: Information related to data collection.

  • mes_entr: Month of interview

Notes: Information related to data collection.

  • dia_entr: Day of intervies

Notes: Information related to data collection.

  • n_visitas_entr: Number of visits to the interviewee

Notes: Information related to data collection.

  • inf_entr_dur: Length interviewee information check

Notes: Information related to data collection.

  • mod_t_dur: Length module Territory

Notes: Information related to data collection.

  • mod_r_dur: Length module Networks and Interactions

Notes: Information related to data collection.

  • mod_c_dur: Length module Citizenship and Demoracy

Notes: Information related to data collection.

  • mod_c1_dur: Length module Citizenship and Demoracy

Notes: Information related to data collection.

  • mod_d_dur: Length module Inequality and Legitimacy

Notes: Information related to data collection.

  • mod_c2_dur: Length module Political Sociability

Notes: Information related to data collection.

  • mod_f_dur: Length module Social Conflict

Notes: Information related to data collection.

  • mod_g_dur: Length module Gender

Notes: Information related to data collection.

  • mod_s_dur: Length module Health and Wellbeing

Notes: Information related to data collection.

  • mod_m_dur: Length module Sociodemographic

Notes: Information related to data collection.

  • contacto_dur: Length interviewee contact information check

Notes: Information related to data collection.

  • entrev_dur: Length interviewee information check

Notes: Information related to data collection.

  • cierre_dur: Length interview closing

Notes: Information related to data collection.

  • presentacion_dur: Length survey pesentation

Notes: Information related to data collection.

  • consentimiento_dur: Length consent presentation

Notes: Information related to data collection.

  • estim_dur: Duration times were estimated

0 No, date of registration
1 Yes, estimated date based on multiple records

Notes: Information related to data collection.

estim_dur 2016 2017 2018 2019 2021
Original Sample
0 2915 0 0 0 0
1 12 0 0 0 0
NA 0 2473 2229 2153 1739
Refreshment Sample
0 0 0 0 0 0
1 0 0 0 0 0
NA 0 0 1519 1264 1001
  • superv: Supervised case

0 No
1 Yes

Notes: Information related to data collection.

superv 2016 2017 2018 2019 2021
Original Sample
0 2173 2084 1879 1628 1184
1 754 389 350 525 555
Refreshment Sample
0 0 0 1291 978 681
1 0 0 228 286 320
  • tipo_superv: Supervision is complete

1 Yes
2 No

Notes: Information related to data collection.

tipo_superv 2016 2017 2018 2019 2021
Original Sample
-999 2173 2084 1879 0 0
1 553 388 350 0 0
2 201 1 0 0 0
NA 0 0 0 2153 1739
Refreshment Sample
-999 0 0 1291 0 0
1 0 0 228 0 0
2 0 0 0 0 0
NA 0 0 0 1264 1001
  • annio_superv: Year of interview supervision

Notes: Information related to data collection.

  • mes_superv: Month of interview supervision

Notes: Information related to data collection.

  • dia_superv: Day of interview supervision

Notes: Information related to data collection.